Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
This project is no longer needed. Ragie now supports MCP natively as a streamable HTTP server. See docs here: [https://docs.ragie.ai/docs/mcp-overview]
A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API.
An enterprise-grade Model Context Protocol server for Power BI and Microsoft Fabric.
implements the Model Context Protocol for and . AI clients discover schema, run SQL with guardrails, and optionally merge so agents interpret codes and tables consistently—without replacing your...
A Model Context Protocol server for interacting with Strapi CMS. This server enables AI assistants to interact with your Strapi instance through a standardized interface, supporting content types and...
This repository contains a Model Context Protocol server implementation for Reddit that allows AI assistants to access and interact with Reddit content through PRAW (Python Reddit API Wrapper).
A Model Context Protocol (MCP) server for WooCommerce integration, compatible with Windows, macOS, and Linux.
DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini 2.5 Pro's extensive context window.
Meilisearch | Meilisearch Cloud | Documentation | Discord
A single-tenant, self-hosted Model Context Protocol server for Pipedrive. Version 2.x uses Pipedrive API v2 for deals, persons, organizations, pipelines, stages, leads, and item search.
Neo4j Labs Model Context Protocol servers
This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities.
Agent Skills
This repository provides a collection of composable Dockerfiles and build scripts for deploying and running software, full applications, and select demonstrators on AMD Ryzen AI hardware.
🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules.
Why use many token when few token do trick?
小提示：导入数据时**，尽量不要用 JSON——多数微信导出工具的 JSON 是给 LLM 微调用的格式，没有时间戳，跑不出 K 线。详见 输入格式。
—— 一套可被任意 AI agent（Claude / GPT / Cursor…）使用的**。
面向 AI Agents 的安全、可持久化沙箱执行平台（Secure, Persistent Execution Platform for AI Agents）
Your future self will thank you. Or blame you. It depends on the diff.
TL;DR: Thea brings coding agents to the physical world.
A Claude Code plugin that audits your mobile app against store review policies — the store rejects it.
A grab-bag of experimental transformer kernels and utilities (mostly PyTorch + Triton).
10 agentes (8 de núcleo, Selina si hay frontend y Lucius bajo demanda), catálogo de 11 skills de proceso, memoria persistente de decisiones por proyecto, 6 flujos de trabajo con quality gates...
Most research-idea workflows fail in one of three ways: